Physical and Chemical Sciences Branch
Bibliographic record
Abstract
H 'drograph ' and Ocean cience Technical report contain cientific and te hnical information that contribute to e_-i ting kno\\\\ledge but \\ \\ hich i not n rmall ~ appropriate for primar ~ literature. he ubject matter i relat d generall ~ to program and intere t of the Ocean. cience and. une) ) ector of the Department of Fl herie and Ocean _ Techni al report rna) b ited a. full publt ati n. The orre t itation app ar ab \\e the ab.tract ofea h report. Ea h report 1 ab tracted in Aqua1ic cience. and Fi hene Ah.1rau and indeed in the Department ' annual inde t ientifi and technical publication. Te hni al report. are produ ed regionall) but are numbered nationall). Reque t for indi \\ idual report \\ \\ ill be filled b ~ the i uing e tabli hment Ii. ted n the front co \\ er and title page. Out of tock rep rt \\ \\ ill be upplied f r a fee b ~ c mmercial agent. Regi nal and headquarter e tabli hment. of ean cien e and une) ea ed publi ation of th ir \\ ari u report eri a of De ember 19 I. om pi te Ii ttng I the publicati n i publi hed in the Canadian Journal vf Fi\\herie. and Aqua1i£' Sdt'/l ( e. Volum 39: Index to Publi atlon 19 _. Th urrent eri. \\'. hich begin \\ \\ ith
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.653 | 0.581 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".